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Natural language interface model for the evaluation of ergonomic routines in occupational health (ILENA)


This article presents research done on a joint assessment model, including physiotherapy and computer and vector concepts, to achieve a natural language interface prototype creation that captures occupational health movements by performing an upper extremities rating in workers in computing.

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  • Achcar JA, Rodrigues J (2000) Introdução à estatstica para ciências e tecnologia. ICMC/USP

  • Alonso-Virgos L, Espada P, Rodríguez J, Baena L, Crespo RG (2017) Design specific user interfaces for people with down syndrome using suitable WCAG 2.0 guidelines. J Ambient Intell Humaniz Comput.

    Google Scholar 

  • Altman P (2013) Using MS Kinect device for natural user interface. Master’s Thesis, University of West Bohemia

  • Barreiro M, Frere A, Theodorio N, Amate F (2003) Goniometer based to computer. In Engineering in Medicine and Biology Society, 2003. In: Proceedings of the 25th annual international conference of the IEEE, vol 4, pp 3290–3293, Cancun, Mexico. IEEE.

  • Benhumea SHP (2012) Interfaz de lenguaje natural usando kinect. Master’s Thesis, Unidad Zacatenco Departamento de Computación, México, Distrito Federal

  • Bolanos S, Gonzalez Crespo R, Espada G, García-Díaz V, Osis J (2016) Softwareland chronicles: a software development meta-process proposal. Appl Comput Syst 19(1):5–14.

    Article  Google Scholar 

  • Bolanos-Castro JS, Gonzalez Crespo R, Medina-Garcia HV (2011) Patterns of software development process. Int J Interact Multimed Artif Intell 1:33–40.

    Google Scholar 

  • Cover T, Hart P (2006) Nearest neighbor pattern classification. IEEE Trans Inf Theor 13(1):21–27.

    Article  MATH  Google Scholar 

  • De Castilla y Leon JA, Obreras de Castilla y Leon C (2008) Manual de trastornos musculoesqueléticos. Secretaria de Salud Laboral CC.OO. Castilla y León

    Google Scholar 

  • De la Salud OM (2017) Índice de masa corporal. Accessed 1 Sept 2017

  • For Disease Control C and Prevention (2017) Normal joint range of motion study. Centers for Disease Control and Prevention. Accessed 10 Nov 2017

  • Gallo L, Placitelli A, Ciampi M (2011) Controller-free exploration of medical image data: experiencing the kinect. In: Computer-based medical systems (CBMS), 2011 24th international symposium on, pp 1–6.

  • Magdin M, Prikler F (2018) Real time facial expression recognition using webcam and sdk affectiva. Int J Interact Multimed Artif Intell.

    Google Scholar 

  • Microsoft (2013) Kinect for windows human interface guidelines v1.8.0. Microsoft Developer Network

  • Microsoft (2015) Kinect for windows. Microsoft Developer Network

  • Moore SJ, Garg A (1995) The Strain Index: a proposed method to analyze jobs for risk of distal upper extremity disorders. Am Ind Hyg Assoc J 56:443–458.

    Article  Google Scholar 

  • Ojeda LR (2007) Probabilidad y estadística básica para ingenieros. Escuela superior politécnica del litoral

  • Ortiz A, Gutierrez J, Barraza F, Delgado R, Nunez M, Aguirre H (2011) Design of a sensor for measuring range of motion of the hand. Health Care Exchanges (PAHCE), 2011 Pan American, pp 29–32.

  • Parashar A, Parashar A, Goyal S (2016) Push recovery for humanoid robot in dynamic environment and classifying the data using k-mean. Int J Interact Multimed Artif Intell 4(2):29–34.

    Google Scholar 

  • Ross W (1985) The phantom stratagem for proportional growth assessment: questions and answers. Hum Biol 16:156–167

    Google Scholar 

  • Silverman BW, Jones MC, Fix E, Hodges JL (1989) E. Fix and J. L. Hodges (1951): an important contribution to nonparametric discriminant analysis and density estimation: commentary on Fix and Hodges (1951). Int Stat Rev 57(3):233–238

    Article  MATH  Google Scholar 

  • Stanley D (2013) Measuring attention using Microsoft Kinect. Master’s Thesis, Rochester Institute of Technology

  • Stevens P, Pooley P, Fernández-Alarcón M, González-Crespo R (2007) Utilización de UML en ingeniería del software con objetos y componentes. Pearson Addison Wesley, Boston

    Google Scholar 

  • Systems C (2014) Cyber glove II. Accessed 30 Aug 2017

  • Taboadela C (2007) Goniometría: una herramienta para la evaluación de las incapacidades laborales. ASOCIART SA ART ©

  • Verdú E, Bustelo CPG, Sánchez MÁM, Crespo RG (2017) A system to generate signwriting for video tracks enhancing accessibility of deaf people. Int J Interact Multimed Artif Intell 4(6):109–115.

    Google Scholar 

  • Wang J, Liu Z, Wu Y, Yuan J (2012) Mining action let ensemble for action recognition with depth cameras. In: Computer vision and pattern recognition (CVPR), 2012 IEEE conference on, pp 1290–1297.

  • Weinberger KQ, Blitzer J, Saul LK (2006) Distance metric learning for large margin nearest neighbor classification. Adv Neural Inf Process Syst 18:1473–1480.

    Google Scholar 

  • Xiao Y, Yuan J, Thalmann D (2013) Human-virtual human interaction by upper body gesture understanding. In: VRST’13 proceedings of the 19th ACM symposium on virtual reality software and technology, pp 133–142. ACM.

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Correspondence to Ruben González Crespo.

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Jutinico, C.J.M., Montenegro-Marin, C.E., Burgos, D. et al. Natural language interface model for the evaluation of ergonomic routines in occupational health (ILENA). J Ambient Intell Human Comput 10, 1611–1619 (2019).

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  • Kinect
  • Joint
  • Occupational health
  • Vector